Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Proceedings of the 5th international conference on Information processing in sensor networks
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Statistical location detection with sensor networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Bidding Protocols for Deploying Mobile Sensors
IEEE Transactions on Mobile Computing
BeamStar: An Edge-Based Approach to Routing in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
A Voronoi dEtection Range Adjustment (VERA) approach for energy saving of wireless sensor networks
ICPADS '07 Proceedings of the 13th International Conference on Parallel and Distributed Systems - Volume 01
Sensor Position Determination with Flying Anchors in Three-Dimensional Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Energy-efficient deployment of Intelligent Mobile sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Scan-Based Movement-Assisted Sensor Deployment Methods in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Ant colony optimization based sensor deployment protocol for wireless sensor networks
Expert Systems with Applications: An International Journal
Periphery deployment for wireless sensor systems with guaranteed coverage percentage
Journal of Systems and Software
Hi-index | 0.00 |
Previous research indicated that uniform deployment was not the most efficient way for saving energy in wireless sensor networks. The location nearer to a sink should have more sensors deployed. This paper describes a moving algorithm for achieving the non-uniform deployment (MAND). With MAND, mobile sensors can move to appropriate locations to prolong the system lifetime. With two refinements on MAND (called EMAND), not only the coverage of the network is maintained, but the lifetime can be improved enormously. Simulation results show that EMAND performs well in the environment with more sensing events.